75 parallel-and-distributed-computing Postdoctoral positions at University of Minnesota
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progression toward research independence. Responsibilities: 45%- Develop Species Distribution Models for Invasive Mystery Snails Develop and implement species distribution models (SDMs) for Cipangopaludina
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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. Preferred Qualifications: Experience in decision analysis and developing computer-based simulations to model either infectious or non-infectious diseases. Evidence of research productivity in mathematical
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data in domestication and varietal development of winter camelina and pennycress 20% Development of publications and presentations to distribute research results to the scientific community and other
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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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or publications. Qualifications All required qualifications must be documented on application materials. Required Qualifications PhD in biological science and/or bioinformatics or computational biology. Knowledge
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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integration of analytical and computational methods. The work will be conducted in a collaborative environment, with interactions and collaborations with researchers at Brown University and Vanderbilt
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biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, tissue culture, confocal and TIRF microscopy of cells and biophysical